ABOUT US
Research Team
Software Authors
Working at Applied Biomathematics has lead to many successful careers, see where our Software Authors are now!
Kevin Schoemaker, PhD
Assistant Professor, Applied Population Ecology, University of Nevada, Reno
H. Resit Akcakaya, PhD
Professor in the Department of Ecology and Evolution, Stony Brook University
Matt Spencer, PhD
Lecturer in Quantitative Biology, Earth, Ocean, and Ecological Sciences, University of Liverpool
Troy Tucker, PhD
Associate Dean for Grants Development, Suffolk County Community College
Mark Burgman, PhD
Professor of Natural Sciences, Centre for Environmental Policy, Imperial College London
Susanne M. Schultz, BSc, MA, PhD
Professor of Evolution Ecology and Conservation, The University of Manchester
Amy E. Dunham, PhD
Associate Professor of Natural Sciences, Rice University
Karen V. Root, PhD
Professor, Department of Biology, Bowling Green State Univerisity
Administrative Team
Clients and Users
Researchers across the public-private spectrum around the world trust Applied Biomathematics® for software, training, and consulting.
Examples of government and non-profit clients and software users include*:
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Australian Department of Environment and Energy
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Environment and Climate Change Canada
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Sandia National Laboratory
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International Union for Conservation of Nature (IUCN)
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US Army Corps of Engineers
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US Environmental Protection Agency
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US Fish and Wildlife Agency
Examples of private-sector clients include*:
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American Electric Power
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Crop Life America
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Dow AgroSciences
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Dow Chemical
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DuPont Pioneer
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Electric Power Research Institute (EPRI)
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New York Power Authority
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Pfizer
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Southern California Edison
We are especially proud that RAMAS® software is used for teaching and research at hundreds of academic institutions worldwide. This connection is fundamental to our mission to facilitate well-justified and transparent quantitative analysis. In the process, our products promote and support graduate student research.
* Listing of organizations here is for informational purposes only and in no way implies an endorsement of Applied Biomathematics or the use of RAMAS software.
Our Company
Applied Biomathematics® is a private research and software firm focused on developing and translating methods for risk analysis. Our offices are located in historical Setauket, NY, about one mile from Stony Brook University.
Applied Biomathematics expands the range of tools for both probabilistic and non-probabilistic risk analysis, delivering our innovation through the RAMAS® software library. Commercially available RAMAS products include general-purpose applications for expert elicitation, uncertainty quantification, and visualization, as well as subject-specific tools for conservation biology, ecotoxicology, and ag biotech. For over 35 years, RAMAS software has served the needs of scientists, engineers, educators, and students, making expert tools easy to use.
Research at Applied Biomathematics has contributed meaningfully to society and to scientific progress. Ten of our publications have been cited over 500 times and two of them over 1,000 times. We have helped engineers test bridges, doctors communicate with patients, students learn biology, pharmaceutical companies anticipate regulatory decisions, and conservation biologists protect species at the brink of extinction.
Public Research Support
Public funding has been essential to the success of research and development at Appied Biomathematics®. The support of the Small Business Innovation Research program has given us the independence to deliver objective analytical tools that promote high scientific standards.
Our public funding has been provided by*:
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Department of Agriculture (USDA)
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Department of Education (Ed)
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Department of Homeland Security (DHS)
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Missile Defense Agency (MDA)
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National Association of Space and Aeronautics (NASA)
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National Institutes of Health (NIH)
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National Science Foundation (NSF)
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Nuclear Regulatory Commission (NRC)
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Strategic Environmental Research Program (SERDP)
* Listing here is for informational purposes only and in no way implies agency endorsement of Applied Biomathematics or the use of RAMAS software.